Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/3141| Title: | 2D Pose Estimation based Child Action Recognition |
| Authors: | Mohottala, S Abeygunawardana, S Samarasinghe, P Kasthurirathna, D Abhayaratne, C |
| Keywords: | child action recognition graph convolutional networks Long-term recurrent convolutional network transfer learning |
| Issue Date: | Nov-2022 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | S. Mohottala, S. Abeygunawardana, P. Samarasinghe, D. Kasthurirathna and C. Abhayaratne, "2D Pose Estimation based Child Action Recognition," TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), Hong Kong, Hong Kong, 2022, pp. 1-7, doi: 10.1109/TENCON55691.2022.9977799. |
| Series/Report no.: | IEEE Region 10 Annual International Conference, Proceedings/TENCON; |
| Abstract: | We present a graph convolutional network with 2D pose estimation for the first time on child action recognition task achieving on par results with LRCN on a benchmark dataset containing unconstrained environment based videos. |
| URI: | https://rda.sliit.lk/handle/123456789/3141 |
| ISSN: | 21593442 |
| Appears in Collections: | Department of Information Technology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2D_Pose_Estimation_based_Child_Action_Recognition.pdf | 380.76 kB | Adobe PDF | View/Open |
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